Myocardial Ischemia Severity Estimation via Hemodynamic Parameters
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Solution Overview
Problem
Current methods for detecting myocardial ischemia severity are inefficient, particularly in handling large numbers of mixed scenarios and failing to accurately assess the progression of the disease by neglecting the impact of ischemic progression on cardiac hemodynamics.
Innovation Solution
A method and system that determine myocardial ischemia severity based on hemodynamic parameter estimation, involving the receipt of Electrophysiology (EP) signals, generation of a single lead ECG template, estimation of hemodynamic parameters, and determination of myocardial ischemia severity using cardiac pressure-volume loop variables and other parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ECG monitoring methods with multiple leads and stress tests are used to detect myocardial ischemia, then detection coverage is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent segments the complex multi-lead ECG system into a simplified single-lead configuration that focuses on specific waveform parameters (QRS duration, ST segment morphology) most relevant to ischemia detection. This segmentation maintains detection capability while reducing the number of required leads from 10 to 1, directly resolving the contradiction between detection coverage and device complexity
Solution Approach 2:
The patent extracts and removes the stress test component from the monitoring protocol, relying instead on continuous analysis of resting ECG parameters including heart rate variability and waveform morphology. This extraction eliminates the need for complex exercise equipment and procedural intervention while maintaining ischemia detection sensitivity, thereby reducing device complexity and improving ease of operation
2Ease of manufacture
If open source platforms process only electrophysiology signals to determine ischemic progression, then processing simplicity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent merges electrophysiological signal processing with hemodynamic parameter estimation within a unified computational framework. By combining ECG waveform analysis with derived hemodynamic parameters (cardiac output, stroke volume, blood pressure estimates), the system achieves comprehensive ischemia assessment without requiring separate processing systems, thus maintaining processing simplicity while significantly improving measurement precision
Solution Approach 2:
The patent creates a multi-functional processing platform that simultaneously performs electrophysiological analysis, hemodynamic parameter estimation, and ischemia severity classification using the same computational infrastructure. This universal approach allows a single system to deliver multiple diagnostic functions, improving measurement precision without proportionally increasing processing complexity
3Measurement precision
If comprehensive hemodynamic parameter estimation is performed to assess myocardial ischemia severity, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary extraction of key ECG waveform parameters (QRS duration, ST segment amplitude and morphology, T-wave characteristics) before proceeding to hemodynamic parameter estimation. These pre-processed features serve as optimized inputs for subsequent computational models, reducing the dimensionality of the input space and thereby lowering computational complexity while preserving measurement precision for ischemia severity assessment
Data Source
AI summary
This disclosure relates generally to method and system for determining myocardial ischemia severity based on hemodynamic parameters estimation. Many patients suffer from myocardial ischemia due to narrowing of coronary artery resulting poor oxygen supply in cardiac muscles. The method includes receiving Electrophysiology (EP) signal from a simulated heart surface model to generate a single lead ECG template. The method further estimates hemodynamic parameters using a hemodynamic module based on the single lead ECG template and then estimates cardiac pressure-volume loop variables. The myocardial ischemia severity of the heart surface model is determined which includes one of moderate ischemia, severe ischemia and silent ischemia. Here, the cardiac source module is coupled with the hemodynamic module to determine cardiac transmembrane potential (TMP) of the heart surface model through contractility function. This method serves as a guidance platform for patient care such as synthetic data generation for disease classification pertaining to coronary artery.


